100 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in France
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modules for primary school teachers and educators Conducting education research related to the development and implementation of the PD modules and related actions in participating classes Coordinating data
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Transfer of relevant results to various communities from science and politics to a broader public Academic self-administration - Institute, Department and Faculty For questions and further information
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testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork
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and respect for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title
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unit (UMR 7248) from UCA and CNRS. Abstract Optical flow estimation is a key task in computer vision, particularly critical for autonomous navigation where accurate motion perception is essential. It can
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within the AI4AMR consortium, adapt them when necessary, and contribute to improving their performance. Work closely with microbiologists, data scientists, and AI researchers. Implement pipelines for deep
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title
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the professor's performance with respect to the above-listed expectations. For further information about the role, please contact: Prof. Serge Haan, Head of department, Email: Your profile A recognized degree in
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will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also